Apologies for the multiple postings.
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*Motivation:* A report by the European Union Law Enforcement Agency predicts that by 2026, up to 90% of online content could be synthetically generated, raising concerns among policymakers, who cautioned that ”*Generative AI could act as a force multiplier for political disinformation. The combined effect of the generative text, images, videos, and audio may surpass the influence of any single modality*”. In response, California’s Bill AB 3211 mandates the watermarking of AI-generated images, videos, and audio. However, concerns remain regarding the vulnerability of invisible watermarking techniques to tampering and the potential for malicious actors to bypass them entirely. Therefore, AI-generated content detection has become an essential research problem.
Shared Task 1: CT2: AI-Generated Text Detection
Colab: https://codalab.lisn.upsaclay.fr/competitions/20330
A snapshot of the data can be viewed here https://huggingface.co/datasets/gsingh1-py/train.
Shared Task 2: CT2: AI-Generated Image Detection
Colab: https://codalab.lisn.upsaclay.fr/competitions/20331
A snapshot of the data can be viewed here https://huggingface.co/datasets/NasrinImp/Defactify4_Train
Please take part in the shared tasks if you are interested in AI-generated content detection.
Thanks, A
*Prof. (Dr.) Amitava Das*
Research Associate Professor
Artificial Intelligence Institute of the University of South Carolina http://aiisc.ai
Web http://www.amitavadas.com/ | LinkedIn http://:%20https:/www.linkedin.com/in/prof-dr-amitava-das-78348022/ | Google Scholar https://scholar.google.com/citations?hl=en&user=HYpfhaEAAAAJ
Advisory Scientist
Wipro AI Lab https://wiprodigital.com/
Bangalore, India
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